Yalin Wang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 79

Top Topics

Fault Diagnosis

Quality Prediction

Industrial Process

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Instrum. Meas.

Eng. Appl. Artif. Intell.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes. IEEE CAA J. Autom. Sinica 11 (1) (2024)
Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. IEEE Trans. Artif. Intell. 5 (1) (2024)
Chenliang Liu, Yalin Wang, Yijing Fang, Chunhua Yang, Weihua Gui
Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning. IEEE Trans. Ind. Informatics 20 (5) (2024)
Chenliang Liu, Yalin Wang, Chunhua Yang, Henry Leung, Xunyuan Yin
Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond. IEEE Trans. Ind. Electron. 71 (10) (2024)
Kai Wang, Daojie He, Qingqiang Sun, Lizhi Yi, Xiaofeng Yuan, Yalin Wang
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Appl. Soft Comput. 158 (2024)
Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. 54 (5) (2024)
Lin Guan, Yalin Wang, Xujie Tan, Chenliang Liu
Genetic Algorithm Driven by Translational Mutation Operator for the Scheduling Optimization in the Steelmaking-Continuous Casting Production. Intelligent Information Processing (1) (2024)
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. IEEE Trans. Instrum. Meas. 73 (2024)
Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. 133 (2024)
Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. IEEE Trans. Ind. Informatics 20 (4) (2024)
Yalin Wang, Zexiong Zhou, Xujie Tan, Yuqing Pan, Junqi Yuan, Zhifeng Qiu, Chenliang Liu
Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes. Neurocomputing 592 (2024)
Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan
Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Xiaofeng Yuan, Weiwei Xu, Yalin Wang, Chunhua Yang, Weihua Gui
A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process. IEEE CAA J. Autom. Sinica 11 (8) (2024)
Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. IEEE Trans. Cybern. 54 (2) (2024)
Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. 73 (2024)
Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network. CoRR (2024)
Zhuofu Pan, Yalin Wang, Yue Cao, Weihua Gui
VAE-Based Interpretable Latent Variable Model for Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. Eng. Appl. Artif. Intell. 131 (2024)
Yalin Wang, Yubin Peng, Jingyu Guo
Enhancing knowledge graph embedding with structure and semantic features. Appl. Intell. 54 (3) (2024)
Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Syst. Appl. 245 (2024)
Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. IEEE Trans. Cybern. 53 (2) (2023)
Yalin Wang, Chenliang Liu, Hansheng Wu, Qingkai Sui, Chunhua Yang, Weihua Gui
Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio. IEEE Trans. Instrum. Meas. 72 (2023)
Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. IEEE Trans. Ind. Informatics 19 (9) (2023)
Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data. CDC (2023)
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks 164 (2023)
Yue Cao, Nabil Magbool Jan, Biao Huang, Yalin Wang, Zhuofu Pan, Weihua Gui
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang
Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. SAFEPROCESS (2023)
Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan
Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. 629 (2023)
Kai Wang, Caoyin Yan, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. IEEE Trans. Ind. Informatics 19 (7) (2023)
Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. IEEE Trans. Instrum. Meas. 71 (2022)
Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan
Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. J. Frankl. Inst. 359 (7) (2022)
Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan
Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. IEEE Trans. Ind. Informatics 18 (9) (2022)
Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. Adv. Eng. Informatics 52 (2022)
Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu
A reduced nonstationary discrete convolution kernel for multimode process monitoring. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang
A multi-source transfer learning method for new mode monitoring in industrial processes. CoDIT (2022)
Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. Knowl. Based Syst. 248 (2022)
Yongfei Xue, Yalin Wang, Bei Sun, Xiangyu Peng
An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems. IEEE Trans. Ind. Informatics 17 (10) (2021)
Yalin Wang, Ling Li, Kai Wang
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. Comput. Chem. Eng. 144 (2021)
Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye
Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. IEEE Trans. Instrum. Meas. 70 (2021)
Ja'afar Sulaiman Zangina, Wenhai Wang, Weizhong Qin, Weihua Gui, Youxian Sun, Shenghu Xu, Chunhua Yang, Daoxiong Xie, Yalin Wang, Xinggao Liu
A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation. Comput. Chem. Eng. 151 (2021)
Xiaofeng Yuan, Yongjie Gu, Yalin Wang
Supervised Deep Belief Network for Quality Prediction in Industrial Processes. IEEE Trans. Instrum. Meas. 70 (2021)
Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. Knowl. Based Syst. 230 (2021)
Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. Eng. Appl. Artif. Intell. 104 (2021)
Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, Chunhua Yang
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development. IEEE Trans. Ind. Electron. 68 (5) (2021)
Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan, Chunhua Yang
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. Eng. Appl. Artif. Intell. 104 (2021)
Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. IEEE Trans. Instrum. Meas. 70 (2021)
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Ling Li, Seshu Kumar Damarla, Yalin Wang, Biao Huang
A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes. Inf. Sci. 581 (2021)
Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks 136 (2021)
Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. Inf. Sci. 567 (2021)
Kai Wang, Zhiying Guo, Yalin Wang
A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. CAA SAFEPROCESS (2021)
Fangyang Liu, Yalin Wang, Kai Wang
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. Big Data (CCF) (2021)
Xiaofeng Yuan, Yongjie Gu, Yalin Wang, Chunhua Yang, Weihua Gui
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Xiaofeng Yuan, Jiao Zhou, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. IEEE Trans. Ind. Informatics 16 (6) (2020)
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE. Neurocomputing 396 (2020)
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit. Inf. Sci. 534 (2020)
Xiaofeng Yuan, Shuaibin Qi, Yalin Wang
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. IEEE Trans. Instrum. Meas. 69 (10) (2020)
Xiaofeng Yuan, Lin Li, Yalin Wang
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. IEEE Trans. Ind. Informatics 16 (5) (2020)
Yalin Wang, Dongzhe Wu, Xiaofeng Yuan
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes. Comput. Chem. Eng. 140 (2020)
Di Zhang, Lihui Cen, Yalin Wang
A Feedforward Decoupling Dynamic Matrix Control of Heavy Oil Separated Process with Smith Predictive Compensation Principle. ASCC (2019)
Yongfei Xue, Yalin Wang, Dandan Shang
Parameter Optimization of Hydrocracker using Multi-block Kriging Metamodeling within Discontinuous Operating Space. ASCC (2019)
Xiaofeng Yuan, Jiao Zhou, Yalin Wang, Chunhua Yang
Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process. ASCC (2019)
Yalin Wang, Qihang Li, Quan Xiong, Shan Ma
Distributed consensus of high-order continuous-time multi-agent systems with nonconvex input constraints, switching topologies, and delays. Neurocomputing 332 (2019)
Yalin Wang, Dandan Shang, Xiaofeng Yuan
A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm. ASCC (2019)
Xiaofeng Yuan, Zhiwen Chen, Yalin Wang
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression. IEEE Access 6 (2018)
Yalin Wang, Bei Sun, Runqin Zhang, Quanmin Zhu, Fanbiao Li
Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features. IEEE Access 6 (2018)
Yalin Wang, Kenan Sun, Xiaofeng Yuan, Yue Cao, Ling Li, Heikki N. Koivo
A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application. IEEE Access 6 (2018)
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. IEEE Trans. Ind. Electron. 65 (2) (2018)
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang
Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling. IECON (2018)
Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. IEEE Trans. Ind. Informatics 14 (7) (2018)
Yalin Wang, Haibing Xia, Xiaofeng Yuan, Ling Li, Bei Sun
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion. Multim. Tools Appl. 77 (13) (2018)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13 (2) (2017)
Shiming He, Long Xiao, Yalin Wang, Xinggao Liu, Chunhua Yang, Jiangang Lu, Weihua Gui, Youxian Sun
A novel fault diagnosis method based on optimal relevance vector machine. Neurocomputing 267 (2017)
Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. IEEE Trans. Instrum. Meas. 66 (4) (2017)
Xiaofang Chen, Ying-Can Qian, Yalin Wang
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine. ICONIP (5) (2017)
Shao-Ming Yang, Yalin Wang, Yong-fei Xue, Bei Sun, Bu-song Yang
Online Learning Neural Network for Adaptively Weighted Hybrid Modeling. ICONIP (2) (2016)
Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta, Honglei Xu
A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. J. Appl. Math. 2013 (2013)
Zhong Wan, ZhanLu Yang, Yalin Wang
New spectral PRP conjugate gradient method for unconstrained optimization. Appl. Math. Lett. 24 (1) (2011)
Chunhua Yang, Weihua Gui, Lingshuang Kong, Yalin Wang
A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production. Eng. Appl. Artif. Intell. 22 (4-5) (2009)
Chunhua Yang, Weihua Gui, Lingshuang Kong, Yalin Wang
Modeling and optimal-setting control of blending process in a metallurgical industry. Comput. Chem. Eng. 33 (7) (2009)
Zhifeng Qiu, Weihua Gui, Chunhua Yang, Yalin Wang
Development of Integration Prediction Model for Alumina Raw Slurry Quality. ICICIC (3) (2006)
Xiaofang Chen, Weihua Gui, Yalin Wang, Lihui Cen
Multi-step optimal control of complex process: a genetic programming strategy and its application. Eng. Appl. Artif. Intell. 17 (5) (2004)